$\min f(x)=100(x_2-x_1^2)^2+(1-x_1)^2$

subject to

$x_1-x_2^2-\frac{1}{2}$

Detailed Description

$\min f(x)=100(x_2-x_1^2)^2+(1-x_1)^2$

subject to

$x_1-x_2^2-\frac{1}{2}$

Definition in file ex1906.m.

Function Documentation

Parameters

x	value of the variables
index	If 0, the objective function is evaluated. If not, the constraint number index is evaluated.

Returns: f value of the function; g value of the gradient; H value of the hessian